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What is TextRazor?

The TextRazor API is a powerful tool designed to effectively reveal the Who, What, Why, and How of your news content. With features like Entity Extraction, Disambiguation, and Linking, it also includes Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting a total of twelve languages. This API conducts a thorough examination of your text, enabling the extraction of Relations, Typed Dependencies among words, and Synonyms, which aids in the creation of sophisticated semantic applications that are aware of context. Additionally, it facilitates the rapid extraction of custom entities such as products and companies, allowing users to set specific tagging rules that fit their content needs. TextRazor presents a flexible text analysis framework that can be accessed either through cloud services or by self-hosting. Its integration of advanced natural language processing technologies with a vast knowledge base helps users quickly generate valuable insights from various types of content, including documents, tweets, or web pages. This makes it a vital resource for both content creators and analysts who seek to enhance their understanding of data. Ultimately, TextRazor’s holistic approach guarantees that users can optimize their data processing and analytical strategies to achieve superior outcomes.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

Fleece AI
Neota
OpenResty
Pipedream
TIMi

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

$200 per month
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

TextRazor

Date Founded

2011

Company Location

United Kingdom

Company Website

www.textrazor.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Categories and Features

Text Analytics

Not specified

Text Mining

Not specified

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization

Sentiment Analysis

Not specified

Text Analytics

Not specified

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